Source: UNIVERSITY OF MISSOURI submitted to NRP
AUTONOMOUS TRACTOR TECHNOLOGY ENABLING DIGITAL AGRICULTURE RESEARCH AND EXTENSION
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
ACTIVE
Funding Source
Reporting Frequency
Annual
Accession No.
1026849
Grant No.
2021-70410-35303
Cumulative Award Amt.
$87,511.00
Proposal No.
2021-05024
Multistate No.
(N/A)
Project Start Date
Jul 15, 2021
Project End Date
Jul 14, 2025
Grant Year
2021
Program Code
[EGP]- Equipment Grants Program
Recipient Organization
UNIVERSITY OF MISSOURI
(N/A)
COLUMBIA,MO 65211
Performing Department
Agricultural Systems Managemen
Non Technical Summary
Emerging digital technology and artificial intelligence (AI) are generating grate impacts on industry and our daily life. Self-driving cars, smart phones and robotic systems are transforming our current world to a highly intelligent and automated system. However, the application of advanced digital technologies has not been adopted in agriculture. Digital agriculture based on emerging digital technologies and AI is potentially to transform the traditional agricultural system to a next-generation, highly efficient, sustainable, and resilient food system that has the great potential to improve farmers' profit, wellbeing, and resiliency. This project is to integrate a fully-electric and autonomous farm-scale tractor in agriculture related research and extension activities. The smart tractor will support a multidisciplinary research and extension group in crop breeding, weed science, soil science, horticulture, agroforestry, engineering and computer science to collaboratively work on five planned research projects and three extension projects. The autonomous feature of the tractor will provide a valuable platform for novel data collection, automated crop and animal management, and evaluation of use-inspired AI for cyberinfrastructure provisioning and aerial-ground collaborative robotic system. The research will result in new knowledge on how autonomous systems can improve research capacity, and increase the efficiency and productivity of agricultural and food production. The extension projects aim to promote the digital agriculture and AI technology and increase the awareness and adoption of sustainable and regenerative agriculture. The project will benefit farmers, students, industries, policy makers, and minority and underserved groups through collaboration with pertinent institutions, national and regional AgrAbility program. The project is designed to enhance collaboration, develop next-generation smart workforce, and improve the sustainability of agriculture and ecosystem. The project will support the research and extension activities of eight PI/Co-PIs, 11 major users and six collaborators from the University of Missouri and six collaborative institutions, and benefit over 200 postdoc, graduate and undergraduate students every year.
Animal Health Component
70%
Research Effort Categories
Basic
10%
Applied
70%
Developmental
20%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
2032499202040%
3073510303030%
1021219108130%
Goals / Objectives
The overall goal of this project is to enable and enhance fundamental and applied research in the theme of digital agriculture at the University of Missouri and collaborating institutions.The project will fulfill the following objectives:Provide an autonomous farm-scale tractor for conducting research and extension activities related to digital agriculture.Enable foundational and applied research projects in digital and AI-driven agriculture with evaluation experiments through interdisciplinary applications spanning multiple fields of study.Conduct broader outreach, education and engagement projects for research and technology dissemination, and for training the next-generation workforce in food and agriculture.
Project Methods
The project will be conducted through a multiple disciplinary approach with a team of eight PI/Co-PIs and 13 major users in multidiscipline of plant and soil science, engineering and computer science to collaboratively work on five planned research projects and three extension projects. We will also work with researchers at external institutions, i.e., U. of Central Missouri, Lincoln U. of Missouri, Kansas State U., Iowa State U., U. of Nebraska-Lincoln, Penn State U. and an international research team from the Technical U. of Munich, Germany. The planned research and extension activities as follows:1) Enhance research in precision agriculture and high-throughput plant phenotyping with novel field data collection.2) Conduct research in use-inspired AI for cyberinfrastructure provisioning and collaborative robotic systems for efficient crop production.3) Develop and demonstrate in-season smart crop management systems.4) Integrate an automated management system for animal production.5) Develop an automated crop management and harvesting system for agroforestry and viticulture production.6) Demonstrate digital agriculture and AI through MU Agriculture Experiment Stations7) Demonstrate the benefit and opportunities of emerging technologies in sustainable and regenerative agriculture.8) Demonstrate the benefits of autonomous technologies to underserved audiences.

Progress 07/15/23 to 07/14/24

Outputs
Target Audience:Tractor final arrived at the University of Missouri in September 2023. In this report period, we reached out the following audiences through research and outreach activities. We estimate more than millions media reaches to famers and general public. - Reach out farmers and general publics through the following activities: (1) First announcement through a media congress: In September 2023, we have a media congress to announce the receive of the first autonomous tractor in the university of Missouri. The event was report by more than 200 stories/media and achieved millions of potential reaches. (2) Demonstrations in more than 10 state-level events, including five University of Missouri Field days at different regions of Missouri, Western Farm Show, MO Extension in Service Training and other field demonstrations for different groups of farmers. - Formal student teaching: the project was integrated into all courses for undergraduate students and students in the teaching program Agricultural Systems Technology of the University of Missouri. The tractor was perticularly used for teachingAST 3225: Sensor and Control Technology for Agriculture, AST 4160: Internet of Things for Agriculture and AST 4930: Capstone. The tractor was used for designing capstone projects. The total students involved in the period is estimated 120 students. - Pre-college students and other students: the tractor was used for educating pre-college students to learn AI and agricultural technologies. We held three events that were focused on high school students. We reached out to more than 100 high school students in the reporting period. The tractor was also used to train undergraduate students from other disciplines through REU program and summer camps. Changes/Problems:- Due to the delay of delivery of the tractor, we request a no-cost extension for one year - Due to the delay of the manufacturer, we are waiting for the autonomy feature to have the full excuation of the project. What opportunities for training and professional development has the project provided?The project provides a great training tool for students and professionals to learning digital agriculture technology. We have used it in formal teaching and extension activities. How have the results been disseminated to communities of interest?- Media coverage - achieved millions reach related to this project. - Conference presentation - present the project in multiple conferences - Extension specialists integrate this project in their extension activities to reach out more farmers. - We make a YouTube video to introduce the technology. - Publication: we are developing journal papers and extension papers. What do you plan to do during the next reporting period to accomplish the goals?In next cycle, we are planning to achieve the following objectives: - To test the fully autonomous features of the tractor in crop and animal production; - To conduct at least 10 extension activities - To use it in at least two research projects related to ag robotics and artificial intelligence - To conclude and wrap up this project with a proper continuation plan.

Impacts
What was accomplished under these goals? This project aims to enable and enhance fundamental and applied research in the theme of digital agriculture at the University of Missouri and collaborating institutions. We are trying to help researchers, farmers and stakeholders to develop, use and learn digital agriculture technologies using an autonomous farm-scale tractor. We are trying to test and demonstrate the digital agriculture technologies (sensors, robotics and artificial intelligence) through research and extension activities. We are also trying to train the next-generation workforce in food and agriculture. In this reporting period, we have bring the autonomous and electric tractor to a broad audiences, including K-12 students, undergraduate and graduate students, professionals, farmers and other stakeholders. We disseminated digital agriculture technology to our target audiences through media coverage, teaching, field demonstrations and publications. In this reporting period we completed the following activities: (1) We received the autonomous farm-scale tractor. A media congress was held to announce the tractor project. (2) Research project was conducted to compare the performance of an electric tractor and a diesel tractor at a similar power capacity. We tested their performance in both laboratory and field conditions by conducting tasks of spraying chemicals, tillage, mower and other tasks. (3) At least 5 extension activities were conducted in university field days, extension in-service training and regional and state events (e.g., Western Farm Show, State Fair) (4) Teaching activities were conducted using the tractor to K-12 students and undergraduate students. Learning activities included formal class teaching, hand-on driving, discussion and demonstration. In general, the project was delayed due to the tractor delivery. However, we are catching up and it went well as we expected.

Publications


    Progress 07/15/22 to 07/14/23

    Outputs
    Target Audience:- Tractor companies: We talked to three different companies regarding to the autonomous tractor technology, including Monarch Tractor, John Deere (See & Spray, and autonomous system) and AGCO (the XAVER system by Fendt). Now we have a better understanding on the status of the autonomous tractor technology. - Farmers: We reach out row crop farmers through a YouTube presentation. We also talked to farmers through different personal meetings. - Students: the project was integrated into the course AST 3225: Sensor and Control Technology for Agriculture of the teaching program Agricultural Systems Technology in the University of Missouri. Changes/Problems:The tractor is delayed significantly due to the supply chain issue. What opportunities for training and professional development has the project provided?Since the tractor is not with us yet, by now we only provided an onsite tour to the Monarch Tractor company in CA for two extension specialists in Ag Engineering and research faculty. We will make it available to more research faculty, field specialists and educators when it comes to our research site in the fall of 2023. How have the results been disseminated to communities of interest?- Extension specialists integrate this project in their extension activities to reach out more farmers. - We make a YouTube video to introduce the technology. - We integrate the project in our teaching activities. - We are planning to write two stories and publish them. What do you plan to do during the next reporting period to accomplish the goals?We are still waiting for the tractor that is supposed to be delivered in the fall 2023. In the next cycle, we will fully conduct our planned work.

    Impacts
    What was accomplished under these goals? Objective 1: we have secured an autonomous tractor that will be delivered to our research site this fall. We have paid the supplier. Objective 2: research plans have been updated and get them ready for the tractor. Objective 3: we have reached out different stakeholders, including farmers, industry and educators, which raised the awareness of the new technologies among the agricultural communities. Pertinent information regarding autonomous tractor has been integrated into teaching activities, and used as a tool to train next-generation workforce in digital agriculture.

    Publications


      Progress 07/15/21 to 07/14/22

      Outputs
      Target Audience:1. Farmers:row crops (soybean, corn, and cotton), fruits (elderberry, chestnuts, etc.), animal production (cattle, dairy cow, goat, etc.) 2.Students: early career students and k-12 students 3. Other stakeholders related to agriculture 4. Anyone interested in digital agriculture and robotic technologies Changes/Problems:The project aims to acquire an autonomous tractor to demonstrate and enable digital agriculture technology through research and extension. We proposed to acquire a smart tractor in December 2021 according to the timeline provided by the manufacturer Monarch Tractor (https://www.monarchtractor.com/) in early 2021. However, the production line was significantly impacted by the global shortage of chips that are the critical components of smart tractors. In the past year, we have constantly communicated with the manufacturer to require early access to a tractor. However, the pandemic impact was beyond their expectation, and the delivery date was postponed three times. The latest estimation for the availability of a tractor is the 4th quarter of 2022. What opportunities for training and professional development has the project provided?We only had introdutioin to the project and technology due to lack of a real tractor How have the results been disseminated to communities of interest? Nothing Reported What do you plan to do during the next reporting period to accomplish the goals?Our plan: Smart tractor acquisition: We will closely work with the contact person of Monarch tractor and push to get the tractor by the 4th quarter of 2022. We will also actively approach Ztractor and Bear Flag Robotics to get updates on their availability. We expect a smart tractor will be available to the team in the 4th quarter of 2022. Extension activities: we will continue working with collaborators and farmers to promote digital agriculture. We plan to attend and present our project at two events focusing on farmers, MO State Fair, Western Farm Show, and Great Plains Growers Conference. Demonstration activities: As soon as we receive the tractor, we will conduct a demonstration by inviting the whole project team, farmers, and other stakeholders.

      Impacts
      What was accomplished under these goals? Project Activities: In the past project year, we primarily conducted preparation work due to the delay in acquiring the proposed tractor. July 6, 2021: we had our kickoff meeting for the project through Zoom. Participants included seven of the eight PI/Co-PIs, two major users and two graduate students. The meeting aimed to announce the project, initiate the project activities, and update the timeline for tractor acquisition. July 15, 2021: meeting with Monarch team through Zoom. We presented the proposed research and extension activities using the tractor. We also required an additional tractor to support our aggressive research and extension activities. They generally agreed to provide an additional tractor to our team. They would target to provide a tractor to the project team in early 2022. July 2021 - December 2021: Promote smart tractor technology through extension activities. Co-PIs Karen Funkenbusch, Teng Lim and Rob Meyers were planning extension activities during their extension conferences. January 2022: the 2nd meeting with Monarch team. We discussed the possible time of delivery of the tractor and site visit to Monarch headquarter in California. The delivery time was postponed to the 3rd quarter of 2022. But they also mentioned the potential of access by our team to a prototype tractor in the summer of 2022. We also invited their engineer team to give a talk about smart tractor technology. March 2022: Email discussion about the alternative tractors. We reviewed several options, including John Deere autonomous tractor (not available yet), RowBot (not feasible), Ztractor (no drive option) and Bear Flag Robotics (not available). Our conclusion is that we will continue to wait for the Monarch tractor. June 2022: following up with the Monarch team: Newly updated time is the 4th quarter of 2022.

      Publications